Statistical Language and Speech Processing

Chapter 2 Testing the Robustness of Laws of Polysemy and Brevity Versus Frequency

Chapter 3 Delexicalized and Minimally Supervised Parsing on Universal Dependencies

Chapter 4 Unsupervised Morphological Segmentation Using Neural Word Embeddings

Chapter 5 Statistical Analysis of the Prosodic Parameters of a Spontaneous Arabic Speech Corpus for Speech Synthesis

Chapter 6 Combining Syntactic and Acoustic Features for Prosodic Boundary Detection in Russian

Chapter 7 Articulatory Gesture Rich Representation Learning of Phonological Units in Low Resource Settings

Chapter 8 Estimating the Severity of Parkinson’s Disease Using Voiced Ratio and Nonlinear Parameters

Chapter 9 Optimal Feature Set and Minimal Training Size for Pronunciation Adaptation in TTS

Chapter 10 A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation

Chapter 11 Class n-Gram Models for Very Large Vocabulary Speech Recognition of Finnish and Estonian